Difference between revisions of "Pattern-Based Ontology Construction from Selected Wikipedia Pages"
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| − | '''Pattern-Based Ontology Construction from Selected Wikipedia Pages''' - scientific work related to Wikipedia quality published in 2011, written by Carmen Klaussner and Desislava Zhekova. | + | '''Pattern-Based Ontology Construction from Selected Wikipedia Pages''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Carmen Klaussner]] and [[Desislava Zhekova]]. |
== Overview == | == Overview == | ||
| − | In this paper, authors describe how ontologies can be built automatically from definitions obtained by searching Wikipedia for lexico-syntactic patterns based on the hyponymy relation. First, authors describe how definitions are retrieved and processed while taking into account both recall and precision. Further, concentrating only on precision, authors show how a consistent and useful domain ontology can be created with a beneficial precision of 80%. | + | In this paper, authors describe how ontologies can be built automatically from definitions obtained by searching [[Wikipedia]] for lexico-syntactic patterns based on the hyponymy relation. First, authors describe how definitions are retrieved and processed while taking into account both recall and precision. Further, concentrating only on precision, authors show how a consistent and useful domain [[ontology]] can be created with a beneficial precision of 80%. |
Revision as of 21:13, 30 July 2019
Pattern-Based Ontology Construction from Selected Wikipedia Pages - scientific work related to Wikipedia quality published in 2011, written by Carmen Klaussner and Desislava Zhekova.
Overview
In this paper, authors describe how ontologies can be built automatically from definitions obtained by searching Wikipedia for lexico-syntactic patterns based on the hyponymy relation. First, authors describe how definitions are retrieved and processed while taking into account both recall and precision. Further, concentrating only on precision, authors show how a consistent and useful domain ontology can be created with a beneficial precision of 80%.
